Arijit Panda

554 citations
16 papers · 157 · h-index 7

Impact in

    • Plant Pathogens and Resistance
    • Plant-Microbe Interactions and Immunity
    • Plant Disease Resistance and Genetics

Papers in

    • Genomics and Phylogenetic Studies 9
    • Plant Pathogens and Resistance 5
    • Plant Disease Resistance and Genetics 4
    • Plant-Microbe Interactions and Immunity 3

Arijit Panda

15 papers receiving 157 citations

Peers

Arijit Panda
Comparison fields: 5 of 60
  • Horticulture 2
  • Plant Science 73
  • Cell Biology 32
  • Genetics 34
  • Molecular Biology 77
Replace Jingchuan Luo with:
Jingchuan Luo United States
Yaniv Harari Israel
Esther Jung Switzerland
Barsha Poudel Australia
Shuangyong Yan China
Hugo Bérubé Canada
Jasmin Gömann Germany
Joshua McDill United States
Pepy Bareka Greece
Arijit Panda relative to Jingchuan Luo United States Jingchuan Luo's profile →
Citations per field
00.5×3.2×
Jingchuan Luo · 1×
Citations per year

Countries citing papers authored by Arijit Panda

Since Specialization
Citations

This map shows the geographic impact of Arijit Panda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arijit Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Panda more than expected).

Fields of papers citing papers by Arijit Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arijit Panda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arijit Panda. The network helps show where Arijit Panda may publish in the future.

Co-authors

The 25 scholars most cited alongside Arijit Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arijit Panda Line = papers co-authored together Arijit Panda links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202154
2 201820
3 201715
4 201915
5 201911
6 201610
7 20157
8 20226
9 20234
10 20154
11 20194
12 20243
13 20202
14 20191
15 20151
16 20240

About Arijit Panda

Arijit Panda is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Cancer Research, having authored 16 papers that have together received 157 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Plant Pathogens and Resistance (5 papers), Plant Disease Resistance and Genetics (4 papers), Cancer Genomics and Diagnostics (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Algal biology and biofuel production (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Horticulture (2 citations), Plant Science (73 citations), Cell Biology (32 citations), Genetics (34 citations) and Molecular Biology (77 citations). Arijit Panda has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Sucheta Tripathy, Milovan Šuvakov, Ian Holmes, Colin Diesh, Alexej Abyzov, Mathu Malar C, Takao Kasuga, Jennifer Yuzon, Deeksha Singh and Diya Sen. Their work appears in journals such as Molecular Plant-Microbe Interactions, Frontiers in Microbiology, Astroparticle Physics, The CRISPR Journal and Molecular Plant Pathology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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